Instructions to use silmi224/led-risalah_data_v9 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use silmi224/led-risalah_data_v9 with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "summarization" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("summarization", model="silmi224/led-risalah_data_v9")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("silmi224/led-risalah_data_v9") model = AutoModelForSeq2SeqLM.from_pretrained("silmi224/led-risalah_data_v9", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 60
Browse files
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 647614116
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d2d6b161143b107d0390962f137e88e0f6103ad7ac95fc0fb465b38139989350
|
| 3 |
size 647614116
|
runs/Jul07_03-47-36_613b577cb73c/events.out.tfevents.1720324084.613b577cb73c.34.0
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:aade08e42765d5d9d38727a91bb5e748df9332bf5ff60f70d492312eef8f98cb
|
| 3 |
+
size 8175
|